Pemilihan Daerah Pelayanan Sampah di Bandung Utara Berdasarkan Parameter Daerah Prioritas SNI-19-2454-2002
Bibliographic record
Abstract
The North Bandung Service Area (WP) is a waste WP which has a service level in 2017 of 79.5%, there are still some unserved areas. Each North Bandung WP has different regional characteristics, so according to previous research, service areas were formed using the cluster analysis method to classify regions based on regional characteristics in order to support the target service level of 90%. The purpose of this planning is for the development of previous research by planning the existing priority service area waste management system as an effort to achieve the target of waste services in WP North Bandung. The selection of priority areas is based on the parameters for determining priority areas for SNI 19-2454-2002. This research is expected to solve the problem of waste management system in WP North Bandung.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".